AI Data Analytics Engineer

Job DetailsJob Location: Fort Collins, CO 80528Position Type: Full TimeSalary Range: $102,000.00 - $146,900.00 SalaryTravel Percentage: NegligibleJob Category: EngineeringBillGO is building the next generation of payments. Our vision is to be the payment accelerator for Small Business: an intelligent network that helps businesses get paid faster, operate leaner, and grow with confidence. What you will own: The design, build, and delivery of data models, analytics pipelines, and AI/ML features embedded in BillGO's payments products and internal tools. Warehouse and semantic-layer modeling, metrics definitions, and self-serve analytics that make trusted data accessible across the business. Integration of large language models, embeddings, and retrieval-augmented generation (RAG) systems that turn analytics data into intelligent experiences. Data pipelines, evaluation frameworks, and monitoring that keep analytics and AI features accurate, safe, and observable in production. Prompt engineering, model selection, and build-versus-buy tradeoffs balancing quality, latency, and cost. Responsible and secure use of data and AI appropriate for a regulated payments environment. Partnership with Application Engineering, Platform Engineering, and Data Platform & Intelligence to embed analytics and AI into existing services and APIs. Qualifications 3-5 years of experience building and shipping production software or data products, with meaningful experience in analytics engineering and AI/ML feature development. Proficiency in Python and SQL, and experience with modern data and AI/ML tooling: data warehouses (e.g., Snowflake, BigQuery, Redshift), transformation frameworks (e.g., dbt), LLM APIs, vector databases, embeddings, and orchestration frameworks such as LangChain, LangGraph, or similar. Solid engineering fundamentals: data modeling, APIs, cloud platforms, CI/CD, testing, and observability. Understanding of BI and analytics tooling, semantic layers, prompt engineering, RAG, model evaluation, and guardrail or safety practices. Experience with data pipelines and both structured and unstructured data. Fintech, payments, or regulated-industry experience is a plus but not required. Strong collaboration and communication skills; comfortable working cross-functionally with product, platform, and data teams. #J-18808-Ljbffr